Real-World Project: A Posting Collection & Analysis Agent from Start to Finish
This is chapter 8 of my book **Building Autonomous AI Agents with Claude Code * — a field guide to turning Claude Code from a coding assistant into an agent that remembers, verifies its own work, and knows when to stop. Everything below is from a system I actually run every day on one Windows PC.* 1. Defining the Goal — If You Can't Write It in One Sentence, Don't Start "Automatically collect…
Chapter 8 of the book "Building Autonomous AI Agents with Claude Code" details a step-by-step process for creating a project that automatically collects and analyzes contest and grant-program postings. The project is designed to produce a daily digest report. Key aspects include defining a clear completion criterion, measuring the HTML structure of postings, freezing known fragments into test fixtures, implementing independent modules for each source, and applying domain-specific filters to identify risky clauses.
The system is designed to ensure transparency by including any failures or issues in the final report. Once the system is set up, it can be easily adapted to other fields by changing the parser and regex patterns while keeping the overall structure intact.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
